Evaluation of urban PM2.5 concentrations over 73 major cities and their association with satellite Aerosol Optical Depth: A global analysis of ambient air pollution

Air pollution is a notable environmental health risk factor in modern society, affecting 99 % of the population. In the current study, we investigate the global fine Particulate Matter (PM2.5) urban footprint based on PM2.5 surface measurements from 76 AirNow stations worldwide from January 2019 until March 2024 and investigate the association with satellite-based Aerosol Optical Depth (AOD). All 76 stations in all years, with no exception, exceed the World Health Organization (WHO) annual average air quality guideline level (i.e., 5 μg/m 3 ), and 29 stations exceed the WHO annual average interim target 1 (i.e., 35 μg/m 3 ). The global map of the mean PM2.5 concentrations indicate a hotspot in South Asia where these concentrations sustain considerably high levels. Disaggregation by World Bank country income level groups reveals income inequality with a gap between the lower-middle (median 42.1 μg/m 3 ) and the upper-middle (22.5 μg/m 3 ) income countries. Site-specific correlations on PM2.5-AOD pairs from AirNow and the Moderate Resolution Imaging Spectroradiometer (MODIS), respectively, for statistically significant observations show a large variation between stations, with R ranging between −0.60 and 0.79. In a case study over Vientiane, Laos, the Geostationary Environment Monitoring Spectrometer (GEMS) and MODIS AOD satellite products indicate a considerably higher number of GEMS observations available due to intra-day acquisition capability. A closer look at the GEMS AOD-PM2.5 hourly pairs show a clear diurnal pattern. The results of this large-scale experiment showcase the robustness and applicability of the synergistic use of the global AirNow surface monitoring system and satellite products. • All 73 cities exceed the WHO annual average PM2.5 air quality guideline level. • PM2.5 is higher in lower-middle compared to upper-middle income countries. • Correlation between surface PM2.5 and satellite AOD varies greatly between locations. • GEMS AOD over Vientiane is more accurate between 09:00–11:00 local time.

Authors

Institutions

Publication Details

Journal
Atmospheric Pollution Research
Published
2025-04-22
DOI
https://doi.org/10.1016/j.apr.2025.102556
Citations
2
Primary Topic
Air Quality and Health Impacts
Type
article
Field-Weighted Citation Impact
2.40
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evaluation of urban PM2.5 concentrations over 73 major cities and their association with satellite Aerosol Optical Depth: A global analysis of ambient air pollution

Dimitris Stratoulias, Byeong-Hui Jang, Narissara Nuthammachot
2 citations
Atmospheric Pollution Research
Air Quality and Health Impacts
2.40
article

Evaluation of urban PM2.5 concentrations over 73 major cities and their association with satellite Aerosol Optical Depth: A global analysis of ambient air pollution

Dimitris Stratoulias, Byeong-Hui Jang, Narissara Nuthammachot
article en
2 citations

Abstract

Air pollution is a notable environmental health risk factor in modern society, affecting 99 % of the population. In the current study, we investigate the global fine Particulate Matter (PM2.5) urban footprint based on PM2.5 surface measurements from 76 AirNow stations worldwide from January 2019 until March 2024 and investigate the association with satellite-based Aerosol Optical Depth (AOD). All 76 stations in all years, with no exception, exceed the World Health Organization (WHO) annual average air quality guideline level (i.e., 5 μg/m 3 ), and 29 stations exceed the WHO annual average interim target 1 (i.e., 35 μg/m 3 ). The global map of the mean PM2.5 concentrations indicate a hotspot in South Asia where these concentrations sustain considerably high levels. Disaggregation by World Bank country income level groups reveals income inequality with a gap between the lower-middle (median 42.1 μg/m 3 ) and the upper-middle (22.5 μg/m 3 ) income countries. Site-specific correlations on PM2.5-AOD pairs from AirNow and the Moderate Resolution Imaging Spectroradiometer (MODIS), respectively, for statistically significant observations show a large variation between stations, with R ranging between −0.60 and 0.79. In a case study over Vientiane, Laos, the Geostationary Environment Monitoring Spectrometer (GEMS) and MODIS AOD satellite products indicate a considerably higher number of GEMS observations available due to intra-day acquisition capability. A closer look at the GEMS AOD-PM2.5 hourly pairs show a clear diurnal pattern. The results of this large-scale experiment showcase the robustness and applicability of the synergistic use of the global AirNow surface monitoring system and satellite products. • All 73 cities exceed the WHO annual average PM2.5 air quality guideline level. • PM2.5 is higher in lower-middle compared to upper-middle income countries. • Correlation between surface PM2.5 and satellite AOD varies greatly between locations. • GEMS AOD over Vientiane is more accurate between 09:00–11:00 local time.

Atmospheric Pollution ResearchVol. 16(8)
Prince of Songkla University (TH), Asian Disaster Preparedness Center (TH)
Sustainable cities and communities
Openalex Percentile: Top 13%
Air Quality and Health Impacts
2.40
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.